''' Author : Rupesh Garsondiya github : @Rupeshgarsondiya Organization : L.J University ''' import http import streamlit as st from PIL import Image from train import * from test import * # Centering the title using HTML and CSS class Main: def __init__(self) -> None: pass def run(self): # Display the image from a URL st.markdown( """
User Behavior
""", unsafe_allow_html=True ) st.write() st.write() t = test() t.predict_data() st.markdown("[GitHub](https://github.com/Rupeshgarsondiya/User-behaviour-classification) | Linkedin",unsafe_allow_html=True) # Add a LinkedIn profile hyperlink using HTML st.markdown("", unsafe_allow_html=True) # Add copyright notice at the bottom st.markdown("
", unsafe_allow_html=True) # Horizontal line to separate content st.markdown( "

© 2024 Rupesh Garsondiya. All Rights Reserved.

", unsafe_allow_html=True ) if __name__ == "__main__": st.markdown("

User behaviour classification on user Behaviour Dataset

", unsafe_allow_html=True) st.markdown("

- About this project :

",unsafe_allow_html=True) st.write(' - This project is a simple web application that uses a machine learning model to classify user behavior into different categories.') st.write(' - The model is trained on a dataset of user behavior and can be used to predict the behavior of a new user based on their mobile data.') run_obj = Main() run_obj.run() else : print("This is a Streamlit app. Please run it using `streamlit run app.py `") # noqa: E501